yzabc007's Stars
yhangf/ML-NOTE
:orange_book:慢慢整理所学的机器学习算法,并根据自己所理解的样子叙述出来。(注重数学推导)
glutanimate/wordlist-medicalterms-en
Dictionary of English medical terms for LibreOffice/OpenOffice/Android/Word
benedekrozemberczki/Splitter
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
roomylee/awesome-relation-extraction
📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
DeepGraphLearning/LiteratureDL4Graph
A comprehensive collection of recent papers on graph deep learning
yzabc007/SurfCon
Implementation of SurfCon model for Synonym Discovery on Privacy-Aware Clinical Data
jadore801120/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
huggingface/naacl_transfer_learning_tutorial
Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA
YeYzheng/KGQA-Based-On-medicine
基于医药知识图谱的智能问答系统
OanaMariaCamburu/e-SNLI
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
kamalkraj/BERT-NER
Pytorch-Named-Entity-Recognition-with-BERT
jvanvugt/pytorch-domain-adaptation
A collection of implementations of adversarial domain adaptation algorithms
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
kmkurn/pytorch-crf
(Linear-chain) Conditional random field in PyTorch.
yaserkl/RLSeq2Seq
Deep Reinforcement Learning For Sequence to Sequence Models
awjuliani/DeepRL-Agents
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
omarsar/nlp_overview
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
Lyken17/Efficient-PyTorch
My best practice of training large dataset using PyTorch.
leeguandong/Interview-code-practice-python
面试题
xiangyue9607/BioNEV
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
bentrevett/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
karpathy/neuraltalk
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
tqdm/tqdm
:zap: A Fast, Extensible Progress Bar for Python and CLI
atulkum/pointer_summarizer
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
hoangcuong2011/Good-Papers
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
khanhptnk/bandit-nmt
LittleYUYU/CoaCor
Code for "CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning" (WWW 2019)
IBM/pytorch-seq2seq
An open source framework for seq2seq models in PyTorch.
MaximumEntropy/Seq2Seq-PyTorch
Sequence to Sequence Models with PyTorch